Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians

Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians

Abstract Several (inter)national longitudinal dementia observational datasets encompassing demographic information, neuroimaging, biomarkers, neuropsychological evaluations, and muti-omics data, have ushered in a new era of potential for integrating machine learning (ML) into dementia research and c...

Full description

Bibliographic Details
Main Authors: Yihan Wang, Shu Liu, Alanna G. Spiteri, Andrew Liem Hieu Huynh, Chenyin Chu, Colin L. Masters, Benjamin Goudey, Yijun Pan, Liang Jin
Format: Article
Language:English
Published: BMC 2024-08-01
Series:Alzheimer’s Research & Therapy
Subjects:
Alzheimer’s dementia
Alzheimer’s disease
Dementia subtyping
Diagnosis
Disease progression
Machine learning
Online Access:https://doi.org/10.1186/s13195-024-01540-6

Internet

https://doi.org/10.1186/s13195-024-01540-6

Similar Items